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远程医疗的扩展、互联网速度以及 COVID-19 前后的初级保健服务获取情况。

Telehealth Expansion, Internet Speed, and Primary Care Access Before and During COVID-19.

机构信息

Boston University Medical Center, Boston, Massachusetts.

University of Wisconsin-Madison.

出版信息

JAMA Netw Open. 2024 Jan 2;7(1):e2347686. doi: 10.1001/jamanetworkopen.2023.47686.

Abstract

IMPORTANCE

Primary care (PC) receipt is associated with better health outcomes. How telehealth expansion and internet speed are associated with PC use is unclear.

OBJECTIVE

To examine the association of telehealth and internet speed with PC use across sociodemographic determinants of health.

DESIGN, SETTING, AND PARTICIPANTS: This cohort study performed difference-in-differences regression of the change in in-person and telehealth PC visits between pre-COVID-19 public health emergency (PHE) (June 1, 2019, to February 29, 2020) and an initial (March 1, 2020, to May 31, 2020) and prolonged (March 1, 2020, to December 31, 2021) PHE period among continuously enrolled nonpregnant, nondisabled Wisconsin Medicaid beneficiaries aged 18 to 64 years. Data were analyzed from March 2022 to March 2023.

EXPOSURE

PHE-induced telehealth expansion.

MAIN OUTCOMES AND MEASURES

Change in PC telehealth (using Current Procedural Terminology codes) visits: (1) count; (2) visit share completed by telehealth; (3) percentage of PHE-induced visit decline offset by telehealth. High-speed internet (HSI) defined as living in a census block group with a median block maximum download speed of 940 megabits per second or greater (June 2020 Federal Communications Commission broadband data); other census block groups classified as low-speed internet (LSI).

RESULTS

In the total cohort of 172 387 participants, 102 989 (59.7%) were female, 103 848 (60.2%) were non-Hispanic White, 34 258 (19.9%) were non-Hispanic Black, 15 020 (8.7%) were Hispanic, 104 239 (60.5%) were aged 26 to 45 years, and 112 355 (66.0%) lived in urban counties. A total of 142 433 (82.6%) had access to HSI; 72 524 (42.1%) had a chronic condition. There was a mean (SD) of 0.138 (0.261) pre-PHE PC visits per month. In the pre-PHE period, visit rates were significantly higher for female than male participants, non-Hispanic White than non-Hispanic Black individuals, urban than rural residents, those with HSI than LSI, and patients with chronic disease than patients without. In the initial PHE period, female participants had a greater increase in telehealth visits than male participants (43.1%; 95% CI, 37.02%-49.18%; P < .001), share (2.20 percentage point difference [PPD]; 95% CI, 1.06-3.33 PPD; P < .001) and offset (6.81 PPD; 95% CI, 3.74-9.87 PPD; P < .001). Non-Hispanic Black participants had a greater increase in share than non-Hispanic White participants (5.44 PPD; 95% CI, 4.07-6.81 PPD; P < .001) and offset (15.22 PPD; 95% CI, 10.69-19.75 PPD; P < .001). Hispanic participants had a greater increase in telehealth visits than Non-Hispanic White participants (35.60%; 95% CI, 25.55%-45.64%; P < .001), share (8.50 PPD; 95% CI, 6.75-10.26 PPD; P < .001) and offset (12.93 PPD; 95% CI, 6.25-19.60 PPD; P < .001). Urban participants had a greater increase in telehealth visits than rural participants (63.87%; 95% CI, 52.62%-75.11%; P < .001), share (9.13 PPD; 95% CI, 7.84-10.42 PPD; P < .001), and offset (13.31 PPD; 95% CI; 9.62-16.99 PPD; P < .001). Participants with HSI had a greater increase in telehealth visits than those with LSI (55.23%; 95% CI, 42.26%-68.20%; P < .001), share (6.61 PPD; 95% CI, 5.00-8.23 PPD; P < .001), and offset (6.82 PPD; 95% CI, 2.15-11.49 PPD; P = .004). Participants with chronic disease had a greater increase in telehealth visits than those with none (188.07%; 95% CI, 175.27%-200.86%; P < .001), share (4.50 PPD; 95% CI, 3.58-5.42 PPD; P < .001), and offset (9.03 PPD; 95% CI, 6.01-12.04 PPD; P < .001). Prolonged PHE differences were similar. Differences persisted among those with HSI.

CONCLUSIONS AND RELEVANCE

In this cohort study of Wisconsin Medicaid beneficiaries, greater telehealth uptake occurred in groups with higher pre-PHE utilization, except for high uptake among Hispanic and non-Hispanic Black individuals despite low pre-PHE utilization. HSI did not moderate disparities. These findings suggest telehealth and HSI may boost PC receipt, but will generally not close utilization gaps.

摘要

重要性

初级保健(PC)的使用与更好的健康结果相关。远程医疗的扩展和互联网速度如何影响 PC 的使用尚不清楚。

目的

本队列研究旨在调查在各种健康决定因素下,远程医疗和互联网速度与 PC 使用之间的关联。

设计、地点和参与者:本队列研究采用了新冠肺炎公共卫生紧急事件(PHE)前后(2019 年 6 月 1 日至 2 月 29 日,2020 年 3 月 1 日至 5 月 31 日和 2020 年 3 月 1 日至 2021 年 12 月 31 日)的个人和远程医疗 PC 就诊量的差异变化,分析了威斯康星州 Medicaid 连续参保的 18 至 64 岁非孕妇和非残疾成年人的就诊数据。数据于 2023 年 3 月进行分析。

暴露因素

PHE 引发的远程医疗扩张。

主要结果和措施

PC 远程医疗(使用当前程序术语代码)就诊量的变化:(1)就诊量;(2)通过远程医疗完成的就诊份额;(3)由远程医疗弥补的 PHE 就诊量下降百分比。高速互联网(HSI)定义为居住在中位数块最大下载速度为 940 兆位/秒或更高的普查块组中(2020 年 6 月联邦通信委员会宽带数据);其他普查块组被归类为低速互联网(LSI)。

结果

在总队列的 172387 名参与者中,102989 名(59.7%)为女性,103848 名(60.2%)为非西班牙裔白人,34258 名(19.9%)为非西班牙裔黑人,15020 名(8.7%)为西班牙裔,104239 名(60.5%)年龄在 26 至 45 岁之间,112355 名(66.0%)居住在城市县。共有 142433 名(82.6%)能够使用 HSI;72524 名(42.1%)患有慢性病。参与者每月平均有 0.138 次(0.261)PC 就诊。在 PHE 前时期,女性参与者的就诊率显著高于男性参与者,非西班牙裔白人参与者的就诊率显著高于非西班牙裔黑人参与者,城市县居民的就诊率显著高于农村居民,HSI 参与者的就诊率显著高于 LSI 参与者,患有慢性病的患者的就诊率显著高于没有慢性病的患者。在初始 PHE 期间,女性参与者的远程医疗就诊量增长幅度大于男性参与者(43.1%;95%CI,37.02%-49.18%;P<0.001),就诊份额(2.20 个百分点差异[PPD];95%CI,1.06-3.33 PPD;P<0.001)和就诊量降幅(6.81 PPD;95%CI,3.74-9.87 PPD;P<0.001)。非西班牙裔黑人参与者的就诊份额增长幅度大于非西班牙裔白人参与者(5.44 PPD;95%CI,4.07-6.81 PPD;P<0.001)和就诊量降幅(15.22 PPD;95%CI,10.69-19.75 PPD;P<0.001)。西班牙裔参与者的远程医疗就诊量增长幅度大于非西班牙裔白人参与者(35.60%;95%CI,25.55%-45.64%;P<0.001),就诊份额(8.50 PPD;95%CI,6.75-10.26 PPD;P<0.001)和就诊量降幅(12.93 PPD;95%CI,6.25-19.60 PPD;P<0.001)。城市县参与者的远程医疗就诊量增长幅度大于农村县参与者(63.87%;95%CI,52.62%-75.11%;P<0.001),就诊份额(9.13 PPD;95%CI,7.84-10.42 PPD;P<0.001)和就诊量降幅(13.31 PPD;95%CI,9.62-16.99 PPD;P<0.001)。HSI 参与者的远程医疗就诊量增长幅度大于 LSI 参与者(55.23%;95%CI,42.26%-68.20%;P<0.001),就诊份额(6.61 PPD;95%CI,5.00-8.23 PPD;P<0.001)和就诊量降幅(6.82 PPD;95%CI,2.15-11.49 PPD;P=0.004)。患有慢性病的参与者的远程医疗就诊量增长幅度大于没有慢性病的参与者(188.07%;95%CI,175.27%-200.86%;P<0.001),就诊份额(4.50 PPD;95%CI,3.58-5.42 PPD;P<0.001)和就诊量降幅(9.03 PPD;95%CI,6.01-12.04 PPD;P<0.001)。延长 PHE 差异相似。HSI 参与者中存在差异。

结论和意义

在这项针对威斯康星州 Medicaid 受益人的队列研究中,较高的 PHE 前利用率群体中远程医疗的采用率更高,除了高 HSI 参与者和低 PHE 利用率的西班牙裔和非西班牙裔黑人个体外。HSI 并没有缓和这些差异。这些发现表明,远程医疗和 HSI 可能会增加 PC 的使用,但通常不会缩小利用差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebf6/10770767/56a5d01b82da/jamanetwopen-e2347686-g001.jpg

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